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The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases: Advances in Computers, cartea 117

Pethuru Raj, Preetha Evangeline David
en Limba Engleză Hardback – 28 ian 2020
The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more.


  • Provides in-depth descriptions of digital transformation technologies and tools
  • Covers various research accomplishments in this flourishing field of relevance
  • Includes many detailed industry use cases with all the right information
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Specificații

ISBN-13: 9780128187562
ISBN-10: 0128187565
Pagini: 384
Dimensiuni: 152 x 229 x 28 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Computers


Public țintă

Data scientists, artificial intelligence (AI) researchers, big data analytics (BDA) architects, IoT experts, IT professionals

Cuprins

1. Stepping into the digitally instrumented and interconnected era
Pethuru Raj and Jenn-Wei Lin
2. Digital twin technology for "smart manufacturing"
Preetha David and Anandhakumar
3. The fog computing/edge computing to leverage digital twin
J. Pushpa and Kalayani
4. The industry use cases for the Digital Twin idea
Peter Augustine
5. Digital twin: Empowering edge devices to be intelligent
Vidya Hungud and Senthil Kumar Arunachalam
6. The industrial internet of things (IIoT)
Sathyan Munirathinam
7. The growing role of integrated and insightful big and real-time data analytics platforms
Indrakumari Ranganathan, Poongodi Thangamuthu, Suresh Palanimuthu and Balamurugan Balusamy
8. Air pollution control model using machine learning and IoT techniques
Chetan Shetty, B.J. Sowmya, S. Seema and K.G. Srinivasa
9. The human body: A digital twin of the cyber physical systems
Janet Barnabas and Pethuru Raj
10. Impact of cloud security in digital twin
Susila Nagarajan, Sruthi Anand and Usha Sakthivel
11. Digital twin in consumer choice modeling
D. Sudaroli Vijayakumar
12. Digital twin: The industry use cases
Pethuru Raj and Chellammal Surianarayanan
13. Machine learning and deep learning algorithms on the Industrial Internet of Things (IIOT)
P. Ambika
14. Energy-efficient edge based real-time healthcare support system
S. Abirami and P. Chitra